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A curated list of awesome deep learning applications in the field of computational biology 2007-08 | Fast model-based protein homology detection without alignment | Sepp Hochreiter, Martin Heusel, and Klaus Obermayer | Bioinformatics 2012-07 | Deep architectures for protein contact map prediction | Pietro Di Lena, Ken Nagata and Pierre Baldi Bioinformatics 2012-10 | Predicting protein residue–resi
Drone movement and coordination are learned thru five independently-trained neural networks in four categories of operation. Specifically: avoid: The first two neural networks enable the drone to avoid obstacles. The turn RNN trains a drone moving at constant speed to avoid stationary and moving obstacles. Inputs are a set of five sonar sensor readings that emanate from the front of the drone. Out
Using Keras & Theano for deep learning driven jazz generation Download .zip Download .tar.gz Using Keras & Theano for deep learning driven jazz generation I built deepjazz in 36 hours at a hackathon. It uses Keras & Theano, two deep learning libraries, to generate jazz music. Specifically, it builds a two-layer LSTM, learning from the given MIDI file. It uses deep learning, the AI tech that powers
Tensorflow - Python, C++ Get started, Tutorials Recurrent Neural Network Tutorial Sequence-to-Sequence Model Tutorial Tutorials by nlintz Notebook examples by aymericdamien Scikit Flow (skflow) - Simplified Scikit-learn like Interface for TensorFlow Keras : (Tensorflow / Theano)-based modular deep learning library similar to Torch char-rnn-tensorflow by sherjilozair: char-rnn in tensorflow Theano
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